Energy and the Digital Transformation

Developing data architectures to facilitate the exchange of information for energy planning and operation


Adopting next generation data exchange to ensure privacy and sovereignty

Need Owners

Identification and involvement of need owners across the energy value chain


Integrating technology enablers to bridge the gap between supply and demand

Overcoming Data Barriers in The Energy Sector

Smart Grids System Design Integration of Renewables Operation & Maintenance Strategic Planning

The Digicities project aims to overcome the barriers to accessibility and exchange of
data for decision-making in the energy sector


Digicities is an ERA-Net coordinated project (1) that aims to overcome the barriers to accessibility and exchange of data for decision-making at a utility and municipality scale. A data architecture will be developed around structured, interconnected digital layers that will be used in the projection of energy demands. A framework for the processing, storage and use of data sources will be demonstrated in living labs. The framework will be implemented into a digital twin of the energy system for planning and operational management. The project consortium has stakeholders from each stage of the value chain. This approach considers the impact of technical advancements and regulatory changes to develop a solution that will accelerate the energy transition to a net-zero energy system.

Urban Symbiosis

Connected CITIES


  • Investigate how semantic technologies can used with open data to support energy demand modelling of buildings and systems
  • Automate the integration of different sources of data required to build a digital twin of the energy system
  • Enable the projection of energy demands across the grid from publicly available data
  • Implement a data architecture preserves sovereignty and privacy
  • Address the lack of availability and transparency  of energy data used for urban and district modelling
  • Survey the needs of grid operators and users to determine how to overcome the challenges of data exchange between stakeholders
  • Investigate new incentives for sharing energy data


Energy Demand Modelling

The projection of energy demands enable planning and efficient operation of energy assets

Linked Data

The use of linked data technologies allows underlying relationships to be captured to support the development of applications and data discovery

Semantic Models

Conformance to schemas, ontologies and data models to enable scalability and automated reasoning of the data


It is increasingly important to ensure data is processed transparently to give the end users confidence in the end product and services


The project success is reliant on the involvement of stakeholders across the digital value chain. We have identified the key players and the project is tailored to address their needs


Adherence to data exchange initiatives such as GAIA-X means that the sovereignty of data is maintained. This paves the way to new mechanisms to share data

Digital Twins

A data connection to the real world allowing users to investigate the impacts of complex scenarios

Digital Layers and Dataspaces

Decision making in the energy sector is influence by activities in multiple sectors. This project aims to collect and integrate data across multiple sectors


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Core Project Partners

Associate Partners and Technology Enablers

Knowledge Community Stakeholders

Get in touch

We are actively seeking involvement of partners across the energy sector. If you are an need owner, data supply or would just like to be updated about the project, please use the form below to get in touch with us.